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Hani M.

@enghanymousa

5,0
2
1,1
1,1
100%

Data Analyst | Project Manager | Agile

$10 USD / time
・
s flagg
Egypt (2:07 a.m.)
・
Ble med februar 8, 2021
$10 USD / time
・
Hani Moussa Shaker is a seasoned data analyst with experience in transforming raw data into actionable insights. Known for his ability to simplify complex datasets and uncover meaningful trends, Hani empowers organizations to make smarter, data-driven decisions. His approach to data goes beyond numbers—he sees it as a powerful tool to drive success and achieve impactful results. "Analyze today, succeed tomorrow" is the philosophy that guides his work in data Analysis. In addition to his data analysis expertise, Hani is a certified project manager (PMP+ACP) with extensive experience leading large-scale projects, managing teams, and delivering results. He also has a strong background in telecommunications, network design, and quality assurance, ensuring excellence in every aspect of his work.
Verifikasjoner
Innen fristen
100 %
Innenfor budsjett
100 %
Akseptrate
100 %
Freelancer Power BI Consultants Egypt
Se alle Power BI Consultants i Egypt

Portefølje

Portefølje

12454286
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
10860064
PMP® certifies mastery in project management, focusing on leadership, processes, and business strategies for successful project delivery.
PMP Certification
12447664
PMI-ACP® certifies expertise in Agile practices, covering frameworks like Scrum, Kanban, and Lean, enhancing adaptive project management skills.
PMI-ACP Certificate
12431792
This project analyzes key factors affecting property prices, including square meters, neighborhood, property type, building age, number of floors, rooms, bathrooms, and building status. The analysis reveals the following: Square Meters: Larger properties increase in value, while smaller ones decrease in price. Neighborhood: Areas like Greenwich and Shoreditch have lower average prices, suggesting affordability or reduced demand. Property Type: Detached houses are more valuable than apartments. Building Age: Newer buildings tend to have higher prices due to modern features and better condition. Number of Floors/Rooms/Bathrooms: More floors, rooms, and bathrooms contribute to higher property value. Building Status: Well-maintained properties fetch higher prices. The insights from this analysis help sellers optimize pricing by emphasizing key features, while buyers can make informed decisions based on value and long-term investment.
London Houses Pricing Study
This project analyzes key factors affecting property prices, including square meters, neighborhood, property type, building age, number of floors, rooms, bathrooms, and building status. The analysis reveals the following: Square Meters: Larger properties increase in value, while smaller ones decrease in price. Neighborhood: Areas like Greenwich and Shoreditch have lower average prices, suggesting affordability or reduced demand. Property Type: Detached houses are more valuable than apartments. Building Age: Newer buildings tend to have higher prices due to modern features and better condition. Number of Floors/Rooms/Bathrooms: More floors, rooms, and bathrooms contribute to higher property value. Building Status: Well-maintained properties fetch higher prices. The insights from this analysis help sellers optimize pricing by emphasizing key features, while buyers can make informed decisions based on value and long-term investment.
London Houses Pricing Study
This project analyzes key factors affecting property prices, including square meters, neighborhood, property type, building age, number of floors, rooms, bathrooms, and building status. The analysis reveals the following: Square Meters: Larger properties increase in value, while smaller ones decrease in price. Neighborhood: Areas like Greenwich and Shoreditch have lower average prices, suggesting affordability or reduced demand. Property Type: Detached houses are more valuable than apartments. Building Age: Newer buildings tend to have higher prices due to modern features and better condition. Number of Floors/Rooms/Bathrooms: More floors, rooms, and bathrooms contribute to higher property value. Building Status: Well-maintained properties fetch higher prices. The insights from this analysis help sellers optimize pricing by emphasizing key features, while buyers can make informed decisions based on value and long-term investment.
London Houses Pricing Study
London Houses Pricing Study
12431789
This project involves analyzing HR data using data analysis tools, focusing on exploring employee statistics such as geographical distribution, gender, seniority, job ranks, and salaries. A Power BI dashboard was developed to provide a comprehensive view of demographic data, salaries, and leave statistics
HR Analysis
This project involves analyzing HR data using data analysis tools, focusing on exploring employee statistics such as geographical distribution, gender, seniority, job ranks, and salaries. A Power BI dashboard was developed to provide a comprehensive view of demographic data, salaries, and leave statistics
HR Analysis
This project involves analyzing HR data using data analysis tools, focusing on exploring employee statistics such as geographical distribution, gender, seniority, job ranks, and salaries. A Power BI dashboard was developed to provide a comprehensive view of demographic data, salaries, and leave statistics
HR Analysis
HR Analysis
12066592
Samples for incident report
POWER BI Samples
Samples for incident report
POWER BI Samples
Samples for incident report
POWER BI Samples
12454286
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
This analysis provides an overview of sales performance from 2017 to 2020, highlighting key trends, top-performing categories, products, and resellers, as well as the factors influencing sales. The data spans various business types, regions, and channels, offering insights into quarterly and yearly performance. It aims to support strategic decisions by identifying strengths and areas for improvement in sales operations.
Sales Dashboard
10860064
PMP® certifies mastery in project management, focusing on leadership, processes, and business strategies for successful project delivery.
PMP Certification
12447664
PMI-ACP® certifies expertise in Agile practices, covering frameworks like Scrum, Kanban, and Lean, enhancing adaptive project management skills.
PMI-ACP Certificate
12431792
This project analyzes key factors affecting property prices, including square meters, neighborhood, property type, building age, number of floors, rooms, bathrooms, and building status. The analysis reveals the following: Square Meters: Larger properties increase in value, while smaller ones decrease in price. Neighborhood: Areas like Greenwich and Shoreditch have lower average prices, suggesting affordability or reduced demand. Property Type: Detached houses are more valuable than apartments. Building Age: Newer buildings tend to have higher prices due to modern features and better condition. Number of Floors/Rooms/Bathrooms: More floors, rooms, and bathrooms contribute to higher property value. Building Status: Well-maintained properties fetch higher prices. The insights from this analysis help sellers optimize pricing by emphasizing key features, while buyers can make informed decisions based on value and long-term investment.
London Houses Pricing Study
This project analyzes key factors affecting property prices, including square meters, neighborhood, property type, building age, number of floors, rooms, bathrooms, and building status. The analysis reveals the following: Square Meters: Larger properties increase in value, while smaller ones decrease in price. Neighborhood: Areas like Greenwich and Shoreditch have lower average prices, suggesting affordability or reduced demand. Property Type: Detached houses are more valuable than apartments. Building Age: Newer buildings tend to have higher prices due to modern features and better condition. Number of Floors/Rooms/Bathrooms: More floors, rooms, and bathrooms contribute to higher property value. Building Status: Well-maintained properties fetch higher prices. The insights from this analysis help sellers optimize pricing by emphasizing key features, while buyers can make informed decisions based on value and long-term investment.
London Houses Pricing Study
This project analyzes key factors affecting property prices, including square meters, neighborhood, property type, building age, number of floors, rooms, bathrooms, and building status. The analysis reveals the following: Square Meters: Larger properties increase in value, while smaller ones decrease in price. Neighborhood: Areas like Greenwich and Shoreditch have lower average prices, suggesting affordability or reduced demand. Property Type: Detached houses are more valuable than apartments. Building Age: Newer buildings tend to have higher prices due to modern features and better condition. Number of Floors/Rooms/Bathrooms: More floors, rooms, and bathrooms contribute to higher property value. Building Status: Well-maintained properties fetch higher prices. The insights from this analysis help sellers optimize pricing by emphasizing key features, while buyers can make informed decisions based on value and long-term investment.
London Houses Pricing Study
London Houses Pricing Study
12431789
This project involves analyzing HR data using data analysis tools, focusing on exploring employee statistics such as geographical distribution, gender, seniority, job ranks, and salaries. A Power BI dashboard was developed to provide a comprehensive view of demographic data, salaries, and leave statistics
HR Analysis
This project involves analyzing HR data using data analysis tools, focusing on exploring employee statistics such as geographical distribution, gender, seniority, job ranks, and salaries. A Power BI dashboard was developed to provide a comprehensive view of demographic data, salaries, and leave statistics
HR Analysis
This project involves analyzing HR data using data analysis tools, focusing on exploring employee statistics such as geographical distribution, gender, seniority, job ranks, and salaries. A Power BI dashboard was developed to provide a comprehensive view of demographic data, salaries, and leave statistics
HR Analysis
HR Analysis
12066592
Samples for incident report
POWER BI Samples
Samples for incident report
POWER BI Samples
Samples for incident report
POWER BI Samples
Endringer lagret
5.0 · 2 Reviews
Anmeldelser
M
POWER BI - Un-Pivot data for S-Curve • $20 USD
hank you , well done
Michael O.
@MToxley
•
s flagg
Pretoria, South Africa
•
2 år siden
Del
C
Project 36639236 has been deleted • $15 USD
he has the four quality's you need Quality of the work, Communication, Expertise and Professionalism. he responds on time , cares about my satisfaction with the project , pleasant to work with and very patient.
Closed User
@capcan2025
•
s flagg
,
•
2 år siden
Del
Erfaring
TELECOM NETWORK MANAGER
apr., 2022 - nåværende
•
2 år, 8 måneder
ORASCOM DEVELOPMENT
apr., 2022 - Nåværende
•
2 år, 8 måneder
- Supervise the implementation of smart solutions for the town to limit resource usage and increase financial benefits for town resources. - Monitoring the performance of mobile service providers to maintain a sustainable good quality of service to increase owners’ satisfaction. - providing advice on adopting an agile mindset to maximize benefits and team collaboration by explaining them how to use agile tools (Trello – Jira) to maintain good results of department tasks.
apr., 2022 - nåværende
•
2 år, 8 måneder
ORASCOM DEVELOPMENT
des., 2010 - mar., 2022
•
11 år, 3 måneder
TELECOM NETWORK ASSISTANT MANAGER
apr., 2017 - mar., 2022
•
4 år, 11 måneder
- Establishing ICT execution criteria that all parties involved must adhere to in order to streamline operations across the corporate and reduce resource waste. - Supervise implementing and maintaining ElGouna contact center to make it easier for residents to obtain any service, in order to keep their pleasure and trust. - Reviewing progress and monitoring all reports on the network which presents performance statistics to increase efficiency and maintain system availability.
TELECOMMUNICATION NETWORKS SENIOR ENGINEER
des., 2010 - apr., 2017
•
6 år, 3 måneder
- Upgrading the city's fiber network to upgrade the city's systems to triple-play technology to give the resident a good experience which increases sales. - Upgrading hotels’ networks to be able to serve rooms with the triple-play technology ( 15 Hotels with about 2700 rooms) which play a vital role in increasing hotel reservations. - Executing Low Current systems of TUB Campus el Gouna (Transferred to El Gouna Campus) based on German requirements as well as their regulations.
des., 2010 - mar., 2022
•
11 år, 3 måneder
Utdanning
Cairo University
2000 - 2005
•
5 år
Bachelor’s degree in Electronics & Communication Engineering.
s flagg
Egypt
2000 - 2005
•
5 år
Kvalifikasjoner
PMI-ACP
2024
PMI
Course in "PMI-ACP Exam Prep material" explaining the following: 1- Agile Manifesto. 2- Agile Core Values, Principles. 3- Agile processes and domains
2024
The Data Challenger Track
2022
Udacity and Egypt FWD
Data analysis course in " Excel and Statistics".
2022
Data Analysis Professional, Nanodegree program
2023
Udacity and Egypt FWD
Data analysis course in "Python, NumPy, Pandas, and Jupyter Notebook", this course explain: 1- how to write a python code using main functions. 2- how to use pandas, NumPy in data analysis. 3- using the Jupyter environment in python coding. 4- how to use matplotlib in data visualization.
2023
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